Mid-level Data Science Associate Consultant - United States

Job Description Job Title: Mid-level Data Science Associate Consultant Job Type: Full-time Location: Remote / Hybrid United States Job Summary: ZS's Insights & Analytics group partners with clients to design and deliver solutions to help them tackle a broad range of business challenges. Our teams work on multiple projects simultaneously, leveraging advanced data analytics and problem-solving techniques. Our recommendations and solutions are based on rigorous research and analysis underpinned by deep expertise and thought leadership. Key Responsibilities: • Design and implement advanced analytical and ML models to solve complex business challenges. • Apply data mining, predictive modeling, and NLP techniques to extract insights from structured and unstructured data. • Develop scalable analytical workflows using Python and integrate results into client systems. • Build and maintain data pipelines; optimize data ingestion and transformation processes. • Collaborate with cross-functional teams to interpret findings and influence data-driven decision-making. • Develop reusable analytical assets and contribute to platform scalability initiatives. • Mentor junior analysts and ensure best practices in data science workflows. Required Skills and Qualifications: • Master’s in Computer Science, Statistics, Data Science, or related field with 2–4 years of experience. • Proficiency in Python (pandas, NumPy, scikit-learn) or R for model building and analysis. • Experience with machine learning pipelines, feature selection, and model evaluation. • Hands-on knowledge of big data tools (Spark, Hadoop) and cloud platforms (AWS, Azure). • Familiarity with SQL and NoSQL data stores. • Ability to translate technical results into actionable business recommendations. • Experience working in agile environments and leading small-scale analytical projects. Preferred Qualifications: • Experience fine-tuning generative models and integrating classic AI techniques. • Prior leadership experience and a record of mentoring junior colleagues. • Domain expertise in healthcare, transportation, technology, insurance, or related sectors. 🚨⚠️ We have detected multiple cases of applicants attempting to cheat during the interview process. Please refrain from doing so. Any candidate found engaging in dishonest behavior will be permanently banned from all current and future opportunities with our organization. ⚠️🚨